Measurement最新文献_第8页

Frequency-dependent gradient error suppression method for optically pumped magnetic gradiometers 光泵磁梯度计的频率梯度误差抑制方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-09 DOI: 10.1016/j.measurement.2025.118138

Shudong Lin , Ziqi Yuan , Yujian Ma , Yueyang Zhai , Junjian Tang

引用次数: 0

A high-precision impulsive force calibration method for the micro-thrust measurement system 微推力测量系统的高精度脉冲力标定方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118112

Haichao Cui , Bangdeng Du , Jifei Ye , Xiaolan Li , Sai Li , Junling Song

{"title":"A high-precision impulsive force calibration method for the micro-thrust measurement system","authors":"Haichao Cui , Bangdeng Du , Jifei Ye , Xiaolan Li , Sai Li , Junling Song","doi":"10.1016/j.measurement.2025.118112","DOIUrl":"10.1016/j.measurement.2025.118112","url":null,"abstract":"<div><div>A high-precision parameter identification method is crucial for a micro-thrust stand to achieve micro-thrust and micro-impulse measurement. Firstly, the relationships between the dynamic parameters and the extreme responses for a torsional thrust stand under impulsive forces are studied in this research, and a high-precision parameter identification method is proposed using linear regression method. Then, a coil and DT4C (Super-Grade Electromagnetic Pure Iron) assembly impulsive force calibrator is developed, and the influence of the spatial position change between DT4C and the coil on electromagnetic force is analyzed based on the numerical simulation method. Subsequently, an optimal relative position setting scheme is presented, and then the variable trends of electromagnetic force with electric current, as well as the properties of coil and DT4C, are discussed through a weighing experiment method using a micro-analytical balance, and an optimal electromagnetic force calibrator which is relatively insensitive to the relative position is obtained. It is able to produce calibration force and impulse bits ranging from 6.3 μN to 2.9 mN and 190.3 nN·s to 342.1 μN·s, respectively, with the maximum relative error caused by installation deviation smaller than 2%. Furthermore, the electromagnetic force control equations in the optimal relative position and the surrounding envelope range are computed by using the polynomial fitting method, respectively. Consequently, an impulsive force calibrator with excellent performance is achieved by setting electric current with required pulse width. Finally, this paper performs a high-precision calibration of a torsional micro-thrust measurement system in both single-pulse and multi-pulse modes based on the proposed impulsive force identification method, whose high accuracy, efficiency, and stability are verified by comparing with the traditional steady-state force method.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118112"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A microstrip-based sensor for glucose monitoring: towards non-invasive blood glucose detection 基于微带的血糖监测传感器：迈向无创血糖检测

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118116

Guodao Zhang , Qiwen Zhang , Chaochao Wang , Xiaojun Ji , Zhengqiu Weng , Abdulilah Mohammad Mayet , Xinjun Miao

{"title":"A microstrip-based sensor for glucose monitoring: towards non-invasive blood glucose detection","authors":"Guodao Zhang , Qiwen Zhang , Chaochao Wang , Xiaojun Ji , Zhengqiu Weng , Abdulilah Mohammad Mayet , Xinjun Miao","doi":"10.1016/j.measurement.2025.118116","DOIUrl":"10.1016/j.measurement.2025.118116","url":null,"abstract":"<div><div>In this study, a microstrip sensor with U-shaped resonators was designed and developed for non-invasive blood glucose measurement. The sensor comprises five U-shaped resonators forming a microstrip circuit, transmitting in the frequency ranges of 2–2.3 GHz and 3.9–4.2 GHz. Glucose solutions with concentrations from 50 mg/dL to 500 mg/dL were prepared and placed in a 3D-printed PLA container for testing. Samples were positioned non-contact on the sensor, and frequency response changes up to 6 GHz were recorded. The sensor exhibited high sensitivity, measuring 1.50 MHz per mg/dL. Due to environmental susceptibilities and the relatively low repeatability of microstrip sensors, each sample was tested five times, yielding a total of 50 measurements. These recorded responses were processed using a multilayer perceptron (MLP) neural network, which predicted glucose concentrations with a mean relative error (MRE%) of less than 2.48 %. This research highlights the development of a highly sensitive, non-invasive glucose sensor integrated with a neural network, offering precise and rapid blood glucose measurements. This system holds promise as a valuable tool for managing diabetes and other blood glucose-related conditions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118116"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An efficient image stitching method of wind-turbine blades for damage measurement in online repair robots 在线修复机器人中风电叶片损伤检测的高效图像拼接方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118125

Weiwei Gao, Jiajun Liu, Chenyang Cui, Xintian Liu, Yu Fang

{"title":"An efficient image stitching method of wind-turbine blades for damage measurement in online repair robots","authors":"Weiwei Gao, Jiajun Liu, Chenyang Cui, Xintian Liu, Yu Fang","doi":"10.1016/j.measurement.2025.118125","DOIUrl":"10.1016/j.measurement.2025.118125","url":null,"abstract":"<div><div>When there is a large damage on the wind-turbine blade, a single image taken at close range cannot cover the entire damage area, thus affecting a series of online repair operations of the repair robot. Therefore, an efficient image stitching method of wind-turbine blades for damage measurement in online repair robots is proposed. Firstly, the nonlinear scale space is constructed by AKAZE algorithm for feature point detection, and then PCA and SIFT-like descriptor are combined to form PCA-SIFT-like algorithm to describe the obtained feature points. Secondly, Brute-force matching is combined with KNN to form the Brute-force-KNN algorithm to quickly screened out the initial correct matching set. Then the wrong matches are further eliminated by the RANSAC algorithm. Thirdly, the multi-resolution fusion algorithm is adopted to eliminate stitching artifacts resulting from image registration, thereby achieving seamless stitching of wind-turbine blade images. Finally, aiming at the problem of engineering application of wind-turbine blade image stitching in the scene of robot high-altitude repair work, an experimental platform based on the wind-turbine blade repair robot is built, and image stitching software is developed. On this basis, the online stitching experiment of wind-turbine blade images was carried out. Experimental results show that the proposed stitching algorithm can meet the online operation requirements of wind-turbine blades for online repair robots. Therefore, the proposed image stitching method for wind-turbine blades is feasible and effective in engineering applications, which can provide technical support for robot automatic measurement and repair of blade damage, and has good engineering application value.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118125"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online evaluation of microscale fatigue crack propagation using a real-time digital image correlation method 基于实时数字图像相关方法的微尺度疲劳裂纹扩展在线评估

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118065

Zhengyu Shen , Peiran Li , Kai Tan , Haiyang Zhang , Jianfeng Wen , Lang Li , Chong Wang , Qingyuan Wang

{"title":"Online evaluation of microscale fatigue crack propagation using a real-time digital image correlation method","authors":"Zhengyu Shen , Peiran Li , Kai Tan , Haiyang Zhang , Jianfeng Wen , Lang Li , Chong Wang , Qingyuan Wang","doi":"10.1016/j.measurement.2025.118065","DOIUrl":"10.1016/j.measurement.2025.118065","url":null,"abstract":"<div><div>To achieve quasi-real-time crack growth evaluation in in-situ fatigue tests, an automated approach is proposed that could potentially benefit failure prevention by addressing fatigue crack propagation. This method significantly reduces the manual effort required to extract geometric characteristics, such as crack paths and lengths, while enhancing the efficiency of fatigue crack studies in the early stages. The framework consists of a series of operations, including image filtering, correlation search, static feature recognition, connected domain analysis, and crack block connection, to automatically identify microscale cracks and determine growth rates in nearly real time. The influence of input identification parameters on the effectiveness of the recognition process is also examined. Additionally, the framework proves effective in identifying cracks under various complex surface conditions, demonstrating its robustness. Finally, three methods based on this framework are evaluated by comparing their results with those obtained through human labeling in reverse time order.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118065"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel transformer network for anomaly detection of wind turbine 一种用于风力发电机组异常检测的新型变压器网络

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118118

Lifeng Cheng, Bohua Chen, Ling Xiang, Aijun Hu, Xinghua Yuan

{"title":"A novel transformer network for anomaly detection of wind turbine","authors":"Lifeng Cheng, Bohua Chen, Ling Xiang, Aijun Hu, Xinghua Yuan","doi":"10.1016/j.measurement.2025.118118","DOIUrl":"10.1016/j.measurement.2025.118118","url":null,"abstract":"<div><div>The supervisory control and data acquisition (SCADA) system of wind turbine includes various state parameters, such as oil temperature, bearing temperature, and generator speed. By analyzing SCADA data, the operating status of wind turbines can be evaluated, allowing for detection of anomalies. It is demonstrated that the Transformer model and its enhanced variants exhibit strong feature extraction capabilities for SCADA data. However, they face limitations in handling non-stationary features, thereby reducing the informativeness of data. In this paper, a novel Transformer network called non-stationary Transformer is proposed for anomaly detection of wind turbines. The model is employed to improve performance on extracting non-stationary features. In model, a multilayer perceptron (MLP) is proposed to adaptively learn de-stationary factors from raw SCADA time series data. These learned factors modify the Transformer’s self-attention mechanism, replacing it with de-stationary attention. Kullback-Leibler (KL) divergence is performed to quantify the differences between predicted and actual values. Using KL divergence, the probability density function (PDF) of normal and abnormal data are formulated, illustrating their distribution differences. By comparing with other models using real wind farm dataset, the proposed model is demonstrated to achieve superior performance on anomaly detection of wind turbine.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118118"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On-machine measurement and compensation for thin-walled surfaces using LLT sensors 利用LLT传感器对薄壁表面进行机内测量和补偿

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.117976

Weihua Chen , Jiamu Song , Bingran Li , Hui Zhang , Peiqing Ye , Siyuan Pan , Yongfei Wang

{"title":"On-machine measurement and compensation for thin-walled surfaces using LLT sensors","authors":"Weihua Chen , Jiamu Song , Bingran Li , Hui Zhang , Peiqing Ye , Siyuan Pan , Yongfei Wang","doi":"10.1016/j.measurement.2025.117976","DOIUrl":"10.1016/j.measurement.2025.117976","url":null,"abstract":"<div><div>Thin-walled surfaces, such as intake ducts, present significant machining challenges due to their low structural rigidity. Rapid on-machine error detection and compensation are crucial. Laser line triangulator (LLT) sensors are increasingly used for on machine measurements (OMM). To overcome the limitations of existing line laser on-machine measurement systems in terms of accuracy and compensation capability, this paper proposes a framework for LLT sensor OMM and compensation processing. First, a constant-posture LLT data acquisition system was developed and integrated into a commercial five-axis machine tool. Next, based on the results from LLT sensors, a two-stage smoothing iterative reconstruction method for surface compensation was proposed to ensure the smoothness of the compensated toolpath. Experimental results show that the LLT measurement process takes only 90 s, and the maximum machining error after compensation was reduced to 0.011 mm, a reduction of 50.22 %. These results validate the advantages of the proposed framework in terms of both efficiency and accuracy, demonstrating its potential for high-precision machining of thin-walled surfaces.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 117976"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic calibration of flow meters using reference flow rate profiles generated by injectors 使用喷射器产生的参考流量曲线动态校准流量计

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118129

Raffaella Romeo , Lucio Postrioti , Davide Torchio , Manuel Martino , Andrea Malengo

引用次数: 0

High-efficiency real-time rice leaf disease classification using convolutional neural network accelerator on FPGA for edge computing in precision agriculture 基于FPGA的卷积神经网络加速器在精准农业边缘计算中的高效实时水稻叶片病害分类

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-08 DOI: 10.1016/j.measurement.2025.118122

Jingwen Zheng , Zefei Lv , Dayang Li , Chengbo Lu , Zuxiang Shen , Haotian Chen , Xiwei Huang , Jiye Huang , Dongmei Chen , Jingcheng Zhang

{"title":"High-efficiency real-time rice leaf disease classification using convolutional neural network accelerator on FPGA for edge computing in precision agriculture","authors":"Jingwen Zheng , Zefei Lv , Dayang Li , Chengbo Lu , Zuxiang Shen , Haotian Chen , Xiwei Huang , Jiye Huang , Dongmei Chen , Jingcheng Zhang","doi":"10.1016/j.measurement.2025.118122","DOIUrl":"10.1016/j.measurement.2025.118122","url":null,"abstract":"<div><div>Convolutional Neural Networks (CNNs) are revolutionizing agriculture, finding widespread applications in tasks such as crop disease detection and yield prediction. However, their high accuracy ability often requires significant computational and memory resources, posing challenges for deployment on resource-constrained edge devices. Lightweight CNNs can reduce computational requirements but still encounter substantial memory access challenges, necessitating further optimization for practical edge deployment. Therefore, this study employed MobileNetV2 for rice leaf disease classification and adapt the model for edge computing by quantizing network parameters to 16-bit for Field-Programmable Gate Array (FPGA) storage, implementing a linear buffering method to reduce parameter read operations, thus alleviating communication bandwidth bottlenecks and improving memory utilization by 28.6 %. High Level Synthesis (HLS) tools were also applied to optimize the FPGA accelerator through loop unrolling, pipelining, and matrix partitioning, enhancing data parallelism and reuse. The optimized design was deployed on a ZYNQ-AC7Z020 FPGA platform, achieving 95.8 % classification accuracy, an inference speed of 53 ms per frame, power consumption of 3.09 W, and a throughput of 35.7 GOPS (Giga Operations Per Second). Memory usage was reduced by 47.1 % without compromising performance. This cost-effective and efficient design offers a robust solution for real-time rice leaf disease classification, balancing resource constraints and operational performance for edge applications in precision agriculture.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118122"},"PeriodicalIF":5.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High speed infrared thermography to investigate heat transfer of transonic turbine rotor blades 高速红外热成像研究跨声速涡轮转子叶片的传热

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-07 DOI: 10.1016/j.measurement.2025.118103

Manuela Sisti , Chiara Falsetti , Paul F. Beard

{"title":"High speed infrared thermography to investigate heat transfer of transonic turbine rotor blades","authors":"Manuela Sisti , Chiara Falsetti , Paul F. Beard","doi":"10.1016/j.measurement.2025.118103","DOIUrl":"10.1016/j.measurement.2025.118103","url":null,"abstract":"<div><div>The role of infrared (IR) thermography has become increasingly predominant in aerothermal testing of gas turbine components in non-rotating engine representative experiments. However, efforts are ongoing to achieve accurate measurements in rotating experiments with target speeds in excess of ∼200m/s and surfaces temperatures below 500K. A novel measurement system employing IR thermography was developed for the Oxford Turbine Research Facility (OTRF), a UK national engine-representative high-pressure turbine test facility operating with rotational speed of 8,500rpm and transonic flow. The infrared measurements focussed on estimating the temperatures of uncooled blade squealer tips with a target velocity of 263.5 ms<sup>−1</sup>. The aerothermal design of this region is key for engine efficiency and blade life. Correction of all sources of errors are applied to the IR raw thermal data, obtaining results as two-dimensional maps of target temperature following procedures developed by Sisti et al. [<span><span>1</span></span>]. A range of camera integration times varying from 20 to 1 µs was tested to investigate the effect on image quality and measurement accuracy, allowing deeper understanding on the effects of noise, detector undersaturation and image blur. Results obtained with an integration time of 20, 10, 5, 2, and 1 µs are firstly compared as blackbody equivalent temperatures. Subsequently, data acquired with camera integration time of 10, 5, and 1 µs is processed to scalable heat transfer quantities (i.e. adiabatic wall temperature and Nusselt number) for the first time in literature for a turbine blade in rotating, transonic test facility. Finally, a detailed post-test uncertainty analysis is presented. This study demonstrates the capability of IR to capture temperature and heat transfer phenomena at high speed in gas turbine research and highlights the impact of the camera integration time on image quality and temperature measurement accuracy.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118103"},"PeriodicalIF":5.2,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0